OnchainCreditScoring

Problem Statement

This system aggregates on-chain data across multiple blockchains using Blockscout MCP, calculates comprehensive wallet scores (0-1000) based on 6 key dimensions, and uses OpenAI GPT-4 to provide contextual reasoning and risk assess ment.Transaction Behavior (30%)- Frequency, diversity, value, consistencyWallet Age & Activity (30%)- Age, active days, recencyAsset Holdings (25%)- Token diversity, portfolio value, balanceRisk Indicators (15%)- Sybil likelihood, flagged interactionsCross-Chain Activity (15%)- Multi-chain presence and consistencyDeFi Engagement (10%)- Protocol interactions, liquidity provision

Solution

Frontend (React.js) → API Gateway (FastAPI) → Scoring Engine (Python) ↓ Blockscout MCP ← Data Processing → OpenAI GPT-4 ↓ Database (PostgreSQL) + Cache (Redis)